code: def get_bins(self, pairs):
      device, dtype = pairs.device, pairs.dtype
      return torch.linspace(
          torch.min(pairs),
          torch.max(pairs),
          steps=self.num_bins + 1,
          device=device,
          dtype=dtype,
      )
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/miners/uniform_histogram_miner.py
imports: import torch
  from ..utils import loss_and_miner_utils
  from .base_miner import BaseMiner
label_desc: Use image node_id 3 for calling the UniformHistogramMiner obj's underlying member method code with example usage: obj.get_bins(pairs) and returns: torch